mlsanityData to 7 Oct 2026

StarSpace: Embed All The Things!

arXiv 1709.03856 ↗First posted 12 Sep 2017cs.CLcited by 24

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Abstract (arXiv)

We present StarSpace, a general-purpose neural embedding model that can solve a wide variety of problems: labeling tasks such as text classification, ranking tasks such as information retrieval/web search, collaborative filtering-based or content-based recommendation, embedding of multi-relational graphs, and learning word, sentence or document level embeddings. In each case the model works by embedding those entities comprised of discrete features and comparing them against each other -- learning similarities dependent on the task. Empirical results on a number of tasks show that StarSpace is highly competitive with existing methods, whilst also being generally applicable to new cases where those methods are not.

Key facts. Cited by 24 papers in the map (data through 7 Oct 2026). First posted on arXiv 12 Sep 2017.

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Citing papers per year: 2021: 5; 2022: 6; 2023: 7; 2024: 2; 2025: 3; 2026: 1.

24 papers.

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  1. 2024Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalizationcited by 203
  2. 2023GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretationcited by 101
  3. 2021DECAF: Deep Extreme Classification with Label Featurescited by 33
  4. 2023RECAP: Retrieval-Enhanced Context-Aware Prefix Encoder for Personalized Dialogue Response Generationcited by 25
  5. 2022Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learningcited by 24
  6. 2021A Systematic Survey of Text Worlds as Embodied Natural Language Environmentscited by 17
  7. 2022Data Augmentation with Paraphrase Generation and Entity Extraction for Multimodal Dialogue Systemcited by 16
  8. 2023RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extractioncited by 13
  9. 2021Content Selection Network for Document-grounded Retrieval-based Chatbotscited by 10
  10. 2021Situated Dialogue Learning through Procedural Environment Generationcited by 9
  11. 2021Natural Language Understanding for Argumentative Dialogue Systems in the Opinion Building Domaincited by 6
  12. 2022Persona-Based Conversational AI: State of the Art and Challengescited by 6
12 more
  1. 2023Multi-modal Extreme Classificationcited by 3
  2. 2022NLU for Game-based Learning in Real: Initial Evaluationscited by 2
  3. 2022End-to-End Evaluation of a Spoken Dialogue System for Learning Basic Mathematicscited by 2
  4. 2022Using Person Embedding to Enrich Features and Data Augmentation for Classificationcited by 0
  5. 2023Inspecting Spoken Language Understanding from Kids for Basic Math Learning at Homecited by 0
  6. 2023Towards Better Query Classification with Multi-Expert Knowledge Condensation in JD Ads Searchcited by 0
  7. 2023Improving Dialogue Management: Quality Datasets vs Modelscited by 0
  8. 2024Multi-turn Response Selection with Commonsense-enhanced Language Modelscited by 0
  9. 2025NaijaNLP: A Survey of Nigerian Low-Resource Languagescited by 0
  10. 2025Learning to Detect Relevant Contexts and Knowledge for Response Selection in Retrieval-based Dialogue Systemscited by 0
  11. 2025"Stop replacing salt with sugar!'': Towards Intuitive Human-Agent Teachingcited by 0
  12. 2026Grounding Text Embeddings in Stakeholder Associationscited by 0